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11. Common pitfalls and recommended practices —...
n_features = 1 , noise = 1 ) >>> X_train , X_test ,...applies to using None . 11.3.1.1. Estimators # Passing instances...scikit-learn.org/stable/common_pitfalls.html -
Comparing different clustering algorithms on to...
"connectivity matrix is [0-9]{1,2}" " > 1. Completing it to avoid stopping...= n_samples , cluster_std = [ 1.0 , 2.5 , 0.5 ], random_state...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html -
Classification of text documents using sparse f...
the mean squared error on {-1, 1} encoded targets, one for each...n_features: { X_train . shape [ 1 ] } " ) print ( f "vectorize testing...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
Face completion with a multi-output estimators ...
shape [ 1 ] # Upper half of the faces X_train...X_train = train [:, : ( n_pixels + 1 ) // 2 ] # Lower half of the faces...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
single_source_shortest_path_length — scikit-lea...
1), (1, 1), (2, 0), (3, 1), (4, 1), (5, 1)] On this...([[ 0 , 1 , 0 , 0 ], ... [ 1 , 0 , 1 , 0 ], ... [ 0 , 1 , 0 , 0...scikit-learn.org/stable/modules/generated/sklearn.utils.graph.single_source_shortest_path_length.... -
SVM: Separating hyperplane for unbalanced class...
clusters of random points n_samples_1 = 1000 n_samples_2 = 100 centers...2.0 , 2.0 ]] clusters_std = [ 1.5 , 0.5 ] X , y = make_blobs (...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
Faces recognition example using eigenfaces and ...
1 )[ - 1 ] true_name = target_names...y_test [ i ]] . rsplit ( " " , 1 )[ - 1 ] return "predicted: %s \n...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
Gaussian Mixture Models — scikit-learn 1.7.2 do...
Examples concerning the sklearn.mixture module. Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture Density Estimation for a Gaussian mixture GMM Initialization Methods GMM cov...scikit-learn.org/stable/auto_examples/mixture/index.html -
sklearn.decomposition — scikit-learn 1.7.2 docu...
Matrix decomposition algorithms. These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be regarded as dimensionality reduction techniques. User guide. See the Decomposing...scikit-learn.org/stable/api/sklearn.decomposition.html -
sklearn.cluster — scikit-learn 1.7.2 documentation
Popular unsupervised clustering algorithms. User guide. See the Clustering and Biclustering sections for further details.scikit-learn.org/stable/api/sklearn.cluster.html